Results 171 to 180 of about 6,703 (218)

Improvement parallelization in Apriori Algorithm

Proceedings of the 2020 International Conference on Computers, Information Processing and Advanced Education, 2020
When people look for the internal relationship of massive data, the classical Apriori association algorithm can not meet the mining scenario of massive data in terms of algorithm efficiency and I/O performance of data processing process. When mining and analyzing the classical Apriori association algorithm, all transactions are always located in the ...
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TFI-Apriori: Using new encoding to optimize the apriori algorithm

Intelligent Data Analysis, 2018
In this paper we propose a new optimization for Apriori-based association rule mining algorithms where the frequency of items can be encoded and treated in a special manner drastically increasing the efficiency of the frequent itemset mining process.
Ebrahim Ansari, M. H. Sadreddini, Seyed Mohammad Hadi Mirsadeghi, Morteza Keshtkaran, Richard Wallace   +4 more
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An Improved Algorithm for Apriori

2009 First International Workshop on Education Technology and Computer Science, 2009
In this paper, we studied the Apriori Algorithm and its performance, which is used to mine association rules. The algorithm for reducing the size of the candidate-itemsets is optimized. Meanwhile, the performance of algorithm is improved to reduce I/O spending by cutting down unnecessary transaction records.
Zhang Changsheng, Li Zhongyue, Zheng Dongsong   +2 more
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A Matrix-Based Apriori Algorithm Improvement

2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018
Association rule mining is to find interesting hidden associations from a huge number of initial data. Apriori algorithm is an effective way to find these associations. However, the original Apriori has its own drawback. Firstly, it needs to scan the database numerous times.
Qinliu Yang, Qunchao Fu, Cong Wang 0003, Jincui Yang   +3 more
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An Improved Apriori Algorithm Based on Features

2013 Ninth International Conference on Computational Intelligence and Security, 2013
In the traditional Apriori algorithm, all the database transaction items are equally important. However, in fact, in order to discover more reasonable association rules, different items should be given different importance. In this paper, an improved algorithm based on Apriori algorithm is proposed, in which every transaction item has its own feature(s)
Jun Yang, Zhonghua Li, Wei Xiang, Luxin Xiao   +3 more
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Maximizing the Efficiency of Parallel Apriori Algorithm

2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
In this paper we attempt to maximize the efficiency of the parallel Apriori Algorithm. The paper analyzes the performance of the algorithm over different datasets and over n processors on a commodity cluster of machines. In the Apriori Algorithm all processes need to synchronize after every pass.
Ketan Shah, Sunita Mahajan
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Alarm correlation using Apriori algorithm

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Communication networks usually contain thousands of components producing millions of alarms every day. To ensure sustainable high quality network services, network surveillance experts need to inspect these alarms and determine the underlying faults. High number of network alarms cause alarm pollution which may cause not only extra time spent by the ...
Mehmet Onur Sarkan, Aysel Akcakoca, Can Kucukakdag, Zehra Cataltepe   +3 more
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Research and improvement of Apriori algorithm

2016 Sixth International Conference on Information Science and Technology (ICIST), 2016
Apriori algorithm is a classical association rule mining algorithm, but it has problems about frequently scanning database and generating a large number of candidate sets. To solve these problems, an improved DC_Apriori algorithm was proposed, which restructured the storage structure of the database, improved connection of frequent item sets, the ...
Jiaoling Du, Xiangli Zhang, Hongmei Zhang, Lei Chen   +3 more
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An Application of Apriori Algorithm on a Diabetic Database

2005
In recent days, mining information from large databases has been recognized by many researchers and many data mining techniques and systems have been developed. In this study, a software (DMAP), which uses Apriori algorithm, was developed. Apriori is an influential algorithm that used in data mining.
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A New Improvement on Apriori Algorithm

2006 International Conference on Computational Intelligence and Security, 2006
Efficiency has been concerned for several years in the research of association rules mining. In this paper, based on the improvement on the classical Apriori algorithm, a high-dimension oriented Apriori algorithm is proposed. Unlike existed Apriori improvements, our algorithm adopts a new method to reduce the redundant generation of sub-itemsets during
Lei Ji, Baowen Zhang, Jianhua Li
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